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» Learning Heuristic Functions from Relaxed Plans
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IEEEPACT
2008
IEEE
15 years 4 months ago
Feature selection and policy optimization for distributed instruction placement using reinforcement learning
Communication overheads are one of the fundamental challenges in a multiprocessor system. As the number of processors on a chip increases, communication overheads and the distribu...
Katherine E. Coons, Behnam Robatmili, Matthew E. T...
CORR
2011
Springer
142views Education» more  CORR 2011»
14 years 1 months ago
Taming Numbers and Durations in the Model Checking Integrated Planning System
The Model Checking Integrated Planning System (MIPS) has shown distinguished performance in the second and third international planning competitions. With its object-oriented fram...
Stefan Edelkamp
IDA
2005
Springer
15 years 3 months ago
Learning from Ambiguously Labeled Examples
Inducing a classification function from a set of examples in the form of labeled instances is a standard problem in supervised machine learning. In this paper, we are concerned w...
Eyke Hüllermeier, Jürgen Beringer
AAAI
2008
15 years 4 days ago
The PELA Architecture: Integrating Planning and Learning to Improve Execution
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...
Sergio Jiménez, Fernando Fernández, ...
PPSN
2000
Springer
15 years 1 months ago
Towards Automatic Domain Knowledge Extraction for Evolutionary Heuristics
Domain knowledge is essential for successful problem solving and optimization. This paper introduces a framework in which a form of automatic domain knowledge extraction can be im...
Márk Jelasity